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    3. Joseph Bloom · Open Source Sparse Autoencoders for all Residual Stream Layers of GPT2-Small
    5. GPT2-Small
    7. Residual Stream
    9. 3-RES-JB
    11. 463
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    INDEX
    Explanations

    mentions of pipelines or piping

    oai_token-act-pair · gpt-3.5-turbo

    terms related to "pip" package management in programming and references to kits or assemblies

    oai_token-act-pair · gpt-4o-miniTriggered by @bot
    New Auto-Interp
    Top Features by Cosine Similarity
    Comparing With GPT2-SMALL @ 3-res-jb
    Configuration
    jbloom/GPT2-Small-SAEs-Reformatted/blocks.3.hook_resid_pre
    Prompts (Dashboard)
    24,576 prompts, 128 tokens each
    Dataset (Dashboard)
    Skylion007/openwebtext
    Features
    24,576
    Data Type
    torch.float32
    Hook Point
    blocks.3.hook_resid_pre
    Architecture
    standard
    Context Size
    128
    Dataset
    Skylion007/openwebtext
    Hook Point Layer
    3
    Activation Function
    relu
    Embeds
    IFrame
    Link
    Not in Any Lists

    No Comments

    Negative Logits
    é¾įå
    -0.70
    Ü
    -0.70
     Mutual
    -0.67
     Optical
    -0.65
    IVE
    -0.65
    scape
    -0.64
    gradation
    -0.63
     incent
    -0.62
     foam
    -0.61
    wash
    -0.61
    POSITIVE LOGITS
    ters
    1.04
    tered
    0.87
    quet
    0.85
    chen
    0.82
    ter
    0.80
    tering
    0.80
    ppers
    0.78
    ches
    0.78
    zees
    0.76
    ques
    0.76
    Activations Density 0.016%

    No Known Activations